Forestry-TEP responds to user needs for sentinel data value adding in cloud

Tuomas Häme; Renne Tergujeff; Yrjö Rauste; Clive Farquhar; Peter van Zetten; Philip Kershaw; Arnaud de Groof; Jarno Hämäläinen; Joost van Bemmelen; Frank Martin Seifert

doi:10.2760/383579

Forestry-TEP responds to user needs for sentinel data value adding in cloud

Tuomas Häme, Renne Tergujeff, Yrjö Rauste, Clive Farquhar, Peter van Zetten, Philip Kershaw, Arnaud de Groof, Jarno Hämäläinen, Joost van Bemmelen, Frank Martin Seifert

BA16 Data-driven solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

Abstract

The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.

Original language	English
Title of host publication	2017 conference on Big Data from Space
Subtitle of host publication	BiDS’17
Publisher	European Commission EC
Pages	239-242
ISBN (Print)	978-92-79-73527-1
DOIs	https://doi.org/10.2760/383579
Publication status	Published - 2017
MoE publication type	B3 Non-refereed article in conference proceedings
Event	Conference on Big Data from Space, BiDS' 2017 - Toulouse, France Duration: 28 Nov 2017 → 30 Nov 2017

Conference

Conference	Conference on Big Data from Space, BiDS' 2017
Abbreviated title	BiDS' 2017
Country	France
City	Toulouse
Period	28/11/17 → 30/11/17

Keywords

forestry
earth observation
remote sensing
platform

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10.2760/383579

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Häme, T., Tergujeff, R., Rauste, Y., Farquhar, C., van Zetten, P., Kershaw, P., de Groof, A., Hämäläinen, J., van Bemmelen, J., & Seifert, F. M. (2017). Forestry-TEP responds to user needs for sentinel data value adding in cloud. In 2017 conference on Big Data from Space : BiDS’17 (pp. 239-242). European Commission EC. https://doi.org/10.2760/383579

@inproceedings{3c3e24e02e2d485e83fdfeeedfba1a70,

title = "Forestry-TEP responds to user needs for sentinel data value adding in cloud",

abstract = "The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.",

keywords = "forestry, earth observation, remote sensing, platform",

author = "Tuomas H{\"a}me and Renne Tergujeff and Yrj{\"o} Rauste and Clive Farquhar and {van Zetten}, Peter and Philip Kershaw and {de Groof}, Arnaud and Jarno H{\"a}m{\"a}l{\"a}inen and {van Bemmelen}, Joost and Seifert, {Frank Martin}",

year = "2017",

doi = "10.2760/383579",

language = "English",

isbn = "978-92-79-73527-1",

pages = "239--242",

booktitle = "2017 conference on Big Data from Space",

publisher = "European Commission EC",

address = "Belgium",

note = "Conference on Big Data from Space, BiDS' 2017, BiDS' 2017 ; Conference date: 28-11-2017 Through 30-11-2017",

}

Häme, T , Tergujeff, R , Rauste, Y, Farquhar, C, van Zetten, P, Kershaw, P, de Groof, A, Hämäläinen, J, van Bemmelen, J & Seifert, FM 2017, Forestry-TEP responds to user needs for sentinel data value adding in cloud. in 2017 conference on Big Data from Space : BiDS’17. European Commission EC, pp. 239-242, Conference on Big Data from Space, BiDS' 2017, Toulouse, France, 28/11/17. https://doi.org/10.2760/383579

Forestry-TEP responds to user needs for sentinel data value adding in cloud. / Häme, Tuomas ; Tergujeff, Renne ; Rauste, Yrjö; Farquhar, Clive; van Zetten, Peter; Kershaw, Philip; de Groof, Arnaud; Hämäläinen, Jarno; van Bemmelen, Joost; Seifert, Frank Martin.

2017 conference on Big Data from Space : BiDS’17. European Commission EC, 2017. p. 239-242.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

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T1 - Forestry-TEP responds to user needs for sentinel data value adding in cloud

AU - Häme, Tuomas

AU - Tergujeff, Renne

AU - Rauste, Yrjö

AU - Farquhar, Clive

AU - van Zetten, Peter

AU - Kershaw, Philip

AU - de Groof, Arnaud

AU - Hämäläinen, Jarno

AU - van Bemmelen, Joost

AU - Seifert, Frank Martin

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N2 - The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.

AB - The response from the user community has shown a great need for the Forestry Thematic Exploitation Platform (Forestry-TEP) that entered into the pre-operational phase in summer 2017. Forestry TEP offers a one-stop-shop for forestry remote sensing services. It makes data value adding quicker and smoother than traditional approaches that the users have applied. The platform offers access to imagery, computing infrastructure, ready-made value adding services and an opportunity for users to develop and upload their own applications to the platform. It forms a worldwide marketing channel for commercial remote sensing services and a networking forum for users. Ten thematic processing services are presently available on the Forestry TEP - from computing vegetation indices and mapping of land and forest cover to biomass and change estimation. In addition, a user can utilize all the features of the Sentinel Application Platform (SNAP) image processing application, the Monteverdi/Orfeo toolbox, and the open source QGIS tool. The platform will move to an operational phase in 2018.

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KW - earth observation

KW - remote sensing

KW - platform

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M3 - Conference article in proceedings

SN - 978-92-79-73527-1

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EP - 242

BT - 2017 conference on Big Data from Space

PB - European Commission EC

T2 - Conference on Big Data from Space, BiDS' 2017

Y2 - 28 November 2017 through 30 November 2017

ER -